An Introduction to Statistical Learning: with Applications in R
Overview & Synopsis
This book provides an accessible overview of the field of Statistical Learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years.
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Document Information
| Document Title | An Introduction to Statistical Learning: with Applications in R |
|---|---|
| Author / Organization | Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani |
| Subject & Discipline | Machine Learning, The R Programming Language, Statistics, Mathematical Statistics, and SAS Programming, Data Analysis and Data Mining, Artificial Intelligence |
| Categories | Machine Learning |
| Publication Year | 2021 |
| ISBN | 1071614177 |
| Resource Verification | ✓ Verified Direct PDF Available |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Reported File Size | 13029.3 KB (13,342,034 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-10578 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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